Literature DB >> 33327741

Harnessing Single-Cell RNA Sequencing to Better Understand How Diseased Cells Behave the Way They Do in Cardiovascular Disease.

Farwah Iqbal1, Adrien Lupieri1, Masanori Aikawa1,2, Elena Aikawa1,2,3.   

Abstract

The transition of healthy arteries and cardiac valves into dense, cell-rich, calcified, and fibrotic tissues is driven by a complex interplay of both cellular and molecular mechanisms. Specific cell types in these cardiovascular tissues become activated following the exposure to systemic stimuli including circulating lipoproteins or inflammatory mediators. This activation induces multiple cascades of events where changes in cell phenotypes and activation of certain receptors may trigger multiple pathways and specific alterations to the transcriptome. Modifications to the transcriptome and proteome can give rise to pathological cell phenotypes and trigger mechanisms that exacerbate inflammation, proliferation, calcification, and recruitment of resident or distant cells. Accumulating evidence suggests that each cell type involved in vascular and valvular diseases is heterogeneous. Single-cell RNA sequencing is a transforming medical research tool that enables the profiling of the unique fingerprints at single-cell levels. Its applications have allowed the construction of cell atlases including the mammalian heart and tissue vasculature and the discovery of new cell types implicated in cardiovascular disease. Recent advances in single-cell RNA sequencing have facilitated the identification of novel resident cell populations that become activated during disease and has allowed tracing the transition of healthy cells into pathological phenotypes. Furthermore, single-cell RNA sequencing has permitted the characterization of heterogeneous cell subpopulations with unique genetic profiles in healthy and pathological cardiovascular tissues. In this review, we highlight the latest groundbreaking research that has improved our understanding of the pathological mechanisms of atherosclerosis and future directions for calcific aortic valve disease.

Entities:  

Keywords:  arteries; atherosclerosis; calcinosis; proteome; sequence analysis, RNA

Mesh:

Year:  2020        PMID: 33327741      PMCID: PMC8105278          DOI: 10.1161/ATVBAHA.120.314776

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  135 in total

1.  Isolation of "side population" progenitor cells from healthy arteries of adult mice.

Authors:  Julie Sainz; Ayman Al Haj Zen; Giuseppina Caligiuri; Corinne Demerens; Dominique Urbain; Mathilde Lemitre; Antoine Lafont
Journal:  Arterioscler Thromb Vasc Biol       Date:  2005-11-23       Impact factor: 8.311

2.  Single-Cell Transcriptional Profiling of Aortic Endothelium Identifies a Hierarchy from Endovascular Progenitors to Differentiated Cells.

Authors:  Samuel W Lukowski; Jatin Patel; Stacey B Andersen; Seen-Ling Sim; Ho Yi Wong; Joshua Tay; Ingrid Winkler; Joseph E Powell; Kiarash Khosrotehrani
Journal:  Cell Rep       Date:  2019-05-28       Impact factor: 9.423

3.  A Rock and a Hard Place: Chiseling Away at the Multiple Mechanisms of Aortic Stenosis.

Authors:  Elena Aikawa; Peter Libby
Journal:  Circulation       Date:  2017-05-16       Impact factor: 29.690

4.  Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.

Authors:  Patrik L Ståhl; Fredrik Salmén; Sanja Vickovic; Anna Lundmark; José Fernández Navarro; Jens Magnusson; Stefania Giacomello; Michaela Asp; Jakub O Westholm; Mikael Huss; Annelie Mollbrink; Sten Linnarsson; Simone Codeluppi; Åke Borg; Fredrik Pontén; Paul Igor Costea; Pelin Sahlén; Jan Mulder; Olaf Bergmann; Joakim Lundeberg; Jonas Frisén
Journal:  Science       Date:  2016-07-01       Impact factor: 47.728

Review 5.  Abandoning M1/M2 for a Network Model of Macrophage Function.

Authors:  Matthias Nahrendorf; Filip K Swirski
Journal:  Circ Res       Date:  2016-07-22       Impact factor: 17.367

6.  Simulation of early calcific aortic valve disease in a 3D platform: A role for myofibroblast differentiation.

Authors:  Jesper Hjortnaes; Claudia Goettsch; Joshua D Hutcheson; Gulden Camci-Unal; Lilian Lax; Katrin Scherer; Simon Body; Frederick J Schoen; Jolanda Kluin; Ali Khademhosseini; Elena Aikawa
Journal:  J Mol Cell Cardiol       Date:  2016-03-17       Impact factor: 5.000

7.  A draft network of ligand-receptor-mediated multicellular signalling in human.

Authors:  Jordan A Ramilowski; Tatyana Goldberg; Jayson Harshbarger; Edda Kloppmann; Edda Kloppman; Marina Lizio; Venkata P Satagopam; Masayoshi Itoh; Hideya Kawaji; Piero Carninci; Burkhard Rost; Alistair R R Forrest
Journal:  Nat Commun       Date:  2015-07-22       Impact factor: 14.919

Review 8.  Dynamic Macrophages: Understanding Mechanisms of Activation as Guide to Therapy for Atherosclerotic Vascular Disease.

Authors:  Julius L Decano; Masanori Aikawa
Journal:  Front Cardiovasc Med       Date:  2018-08-03

9.  Fast, sensitive and accurate integration of single-cell data with Harmony.

Authors:  Ilya Korsunsky; Nghia Millard; Jean Fan; Kamil Slowikowski; Fan Zhang; Kevin Wei; Yuriy Baglaenko; Michael Brenner; Po-Ru Loh; Soumya Raychaudhuri
Journal:  Nat Methods       Date:  2019-11-18       Impact factor: 28.547

Review 10.  T cell subsets and functions in atherosclerosis.

Authors:  Ryosuke Saigusa; Holger Winkels; Klaus Ley
Journal:  Nat Rev Cardiol       Date:  2020-03-16       Impact factor: 49.421

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  8 in total

1.  Survey of Approaches for Investigation of Atherosclerosis In Vivo.

Authors:  Dipak P Ramji; Yee-Hung Chan; Alaa Alahmadi; Reem Alotibi; Nouf Alshehri
Journal:  Methods Mol Biol       Date:  2022

Review 2.  Illuminating the Mechanisms Underlying Sex Differences in Cardiovascular Disease.

Authors:  Karen Reue; Carrie B Wiese
Journal:  Circ Res       Date:  2022-06-09       Impact factor: 23.213

Review 3.  New insights into macrophage subsets in atherosclerosis.

Authors:  Yurong Wang; Qiong Wang; Danyan Xu
Journal:  J Mol Med (Berl)       Date:  2022-08-05       Impact factor: 5.606

Review 4.  Single-cell RNA sequencing to study vascular diversity and function.

Authors:  Feiyang Ma; Gloria E Hernandez; Milagros Romay; M Luisa Iruela-Arispe
Journal:  Curr Opin Hematol       Date:  2021-05-01       Impact factor: 3.284

Review 5.  Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis.

Authors:  Mark C Blaser; Simon Kraler; Thomas F Lüscher; Elena Aikawa
Journal:  Circ Res       Date:  2021-04-29       Impact factor: 17.367

Review 6.  The Applications of Single-Cell RNA Sequencing in Atherosclerotic Disease.

Authors:  Lotte Slenders; Daniëlle E Tessels; Sander W van der Laan; Gerard Pasterkamp; Michal Mokry
Journal:  Front Cardiovasc Med       Date:  2022-02-08

7.  Identification of potential biomarkers of vascular calcification using bioinformatics analysis and validation in vivo.

Authors:  Chuanzhen Chen; Yinteng Wu; Hai-Lin Lu; Kai Liu; Xiao Qin
Journal:  PeerJ       Date:  2022-03-16       Impact factor: 2.984

Review 8.  Opportunities and Challenges in Understanding Atherosclerosis by Human Biospecimen Studies.

Authors:  Maria Elishaev; Chani J Hodonsky; Saikat Kumar B Ghosh; Aloke V Finn; Moritz von Scheidt; Ying Wang
Journal:  Front Cardiovasc Med       Date:  2022-07-07
  8 in total

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